Top Data & Analytics Jobs in Pittsburgh, PA

Lead and manage projects building modern data ecosystems and managed data services. Oversee strategic planning, mentor teams, ensure project delivery and quality, design data strategies, and convert analytics into business opportunities.

The Business Insurance Analytics Manager will lead a team to analyze claims data, support client negotiations, and develop analytics strategies for client retention and growth.

Lead a team to develop data technology solutions within an Agile framework, managing data platforms and ensuring delivery aligns with business priorities.

Lead and implement data and analytics solutions, architect data systems, provide assessments and roadmaps, and mentor teams in a consulting environment.

The Lead Data Steward ensures data accuracy and consistency across applications while managing data integrity and compliance. Responsibilities include developing standards, performing assessments, and providing training. Proficiency in SQL and Python is essential, along with strong communication and analytical skills.

The Sr. Financial Analyst manages financial and operational aspects of Digital Commerce Platforms, overseeing P&L, revenue forecasting, and analysis while driving operational improvements and providing insights to senior leadership.

The Pricing & Quoting Analyst supports sales by managing pricing for complex deals, analyzing deal economics, and ensuring quote accuracy. Collaborates with Sales, Finance, and Legal teams to drive improvements in quoting processes and pricing strategies.

The Analytics Data Associate will maintain and support analytics systems, upload data, generate reports, assist with client inquiries, and manage risk dashboards.

As an AML Compliance Analyst, you'll conduct client due diligence for compliance with AML and CFT regulations, support onboarding processes, and collaborate with relationship managers while managing multiple tasks. Strong analytical skills and understanding of financial crime risks are essential.

Analyze and interpret data from data warehouses, assist with ETL and BI implementation, validate data quality, perform root-cause analysis, document data mappings and processes, and collaborate with IT and business stakeholders to meet analytics objectives.